Triple
T16453692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthews |
E399617
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Thomas Matthews
Thomas Matthews is a relatively common personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
|
E1223729
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Thomas Matthews | Statement: [Matthews, hasNotableBearer, Thomas Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Matthews Context triple: [Matthews, hasNotableBearer, Thomas Matthews]
-
A.
James Matthews
James Matthews is a British former professional racing driver turned hedge fund manager who is married to Pippa Middleton, the sister of Catherine, Princess of Wales.
-
B.
James Matthews
James Matthews was a prominent 19th-century Scottish architect known for designing significant public buildings, particularly in Aberdeen.
-
C.
John Matthews
John Matthews is a relatively common personal name shared by numerous individuals across various professions and public roles.
-
D.
Carl Mathews
Carl Mathews is an actor known for his role in the film "Dangerous Passage."
-
E.
George Matthews
George Matthews is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thomas Matthews Triple: [Matthews, hasNotableBearer, Thomas Matthews]
Generated description
Thomas Matthews is a relatively common personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Matthews Target entity description: Thomas Matthews is a relatively common personal name shared by multiple notable individuals across fields such as sports, politics, and the arts.
-
A.
James Matthews
James Matthews is a British former professional racing driver turned hedge fund manager who is married to Pippa Middleton, the sister of Catherine, Princess of Wales.
-
B.
James Matthews
James Matthews was a prominent 19th-century Scottish architect known for designing significant public buildings, particularly in Aberdeen.
-
C.
John Matthews
John Matthews is a relatively common personal name shared by numerous individuals across various professions and public roles.
-
D.
Carl Mathews
Carl Mathews is an actor known for his role in the film "Dangerous Passage."
-
E.
George Matthews
George Matthews is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d9c8de4819093ae3901cf0c8805 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:10 a.m.